A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification
A number of techniques have been proposed earlier for feature extraction using image binarization. Efficiency of the techniques was dependent on proper threshold selection for the binarization method. In this paper, a new feature extraction technique using image binarization has been proposed. The t...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Journal of Engineering |
| Online Access: | http://dx.doi.org/10.1155/2014/439218 |
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| _version_ | 1832563682671853568 |
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| author | Sudeep Thepade Rik Das Saurav Ghosh |
| author_facet | Sudeep Thepade Rik Das Saurav Ghosh |
| author_sort | Sudeep Thepade |
| collection | DOAJ |
| description | A number of techniques have been proposed earlier for feature extraction using image binarization. Efficiency of the techniques was dependent on proper threshold selection for the binarization method. In this paper, a new feature extraction technique using image binarization has been proposed. The technique has binarized the significant bit planes of an image by selecting local thresholds. The proposed algorithm has been tested on a public dataset and has been compared with existing widely used techniques using binarization for extraction of features. It has been inferred that the proposed method has outclassed all the existing techniques and has shown consistent classification performance. |
| format | Article |
| id | doaj-art-0a283cf2218b49a2bf5232943b54b6fe |
| institution | Kabale University |
| issn | 2314-4904 2314-4912 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Engineering |
| spelling | doaj-art-0a283cf2218b49a2bf5232943b54b6fe2025-02-03T01:12:42ZengWileyJournal of Engineering2314-49042314-49122014-01-01201410.1155/2014/439218439218A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image ClassificationSudeep Thepade0Rik Das1Saurav Ghosh2Pimpri Chinchwad College of Engineering, Akurdi, Sector 26, Pradhikaran, Nigdi, Pune, Maharashtra 411033, IndiaXavier Institute of Social Service, Dr. Camil Bulcke Path (Purulia Road), P.O. Box 7, Ranchi, Jharkhand 834001, IndiaA.K. Choudhury School of Information Technology, University of Calcutta, 92 APC Road, Kolkata, West Bengal 700009, IndiaA number of techniques have been proposed earlier for feature extraction using image binarization. Efficiency of the techniques was dependent on proper threshold selection for the binarization method. In this paper, a new feature extraction technique using image binarization has been proposed. The technique has binarized the significant bit planes of an image by selecting local thresholds. The proposed algorithm has been tested on a public dataset and has been compared with existing widely used techniques using binarization for extraction of features. It has been inferred that the proposed method has outclassed all the existing techniques and has shown consistent classification performance.http://dx.doi.org/10.1155/2014/439218 |
| spellingShingle | Sudeep Thepade Rik Das Saurav Ghosh A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification Journal of Engineering |
| title | A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification |
| title_full | A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification |
| title_fullStr | A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification |
| title_full_unstemmed | A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification |
| title_short | A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification |
| title_sort | novel feature extraction technique using binarization of bit planes for content based image classification |
| url | http://dx.doi.org/10.1155/2014/439218 |
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